Phi-4 Multimodal Instruct vs Ministral 3 14B Reasoning 2512
At a Glance
| Compare | Phi-4 Multimodal InstructMicrosoft | Ministral 3 14B Reasoning 2512Mistral AI |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 262K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Phi-4-multimodal-instruct | Ministral-3-14B-Reasoning-2512 |
|---|---|---|
| Developer | Microsoft | Mistral AI |
| Family | Phi 4 Multimodal Instruct | Ministral 3 14b Reasoning 2512 |
| Model | Phi-4-multimodal-instruct | Ministral-3-14B-Reasoning-2512 |
| Version | Phi-4-multimodal-instruct | Ministral-3-14B-Reasoning-2512 |
| Lifecycle | active | active |
| Released | 2025-02-26 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Audio | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 262K |
| Total parameters | 5.6B | 13.9B |
| Active parameters | Unknown | Unknown |
| License | mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Unknown | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | chat, generation | chat, generation, reasoning, tools |
Phi-4 Multimodal Instruct Capabilities
Ministral 3 14B Reasoning 2512 Capabilities
Primary Evidence
Sources and Freshness
Questions
Phi-4 Multimodal Instruct vs Ministral 3 14B Reasoning 2512 FAQs
Is Phi-4 Multimodal Instruct or Ministral 3 14B Reasoning 2512 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Phi-4 Multimodal Instruct and Ministral 3 14B Reasoning 2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Phi-4 Multimodal Instruct or Ministral 3 14B Reasoning 2512?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Phi-4 Multimodal Instruct or Ministral 3 14B Reasoning 2512?+
Ministral 3 14B Reasoning 2512 has the larger sourced context window. Phi-4 Multimodal Instruct supports 131K and Ministral 3 14B Reasoning 2512 supports 262K.
Which performs better in benchmarks, Phi-4 Multimodal Instruct or Ministral 3 14B Reasoning 2512?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Phi-4 Multimodal Instruct or Ministral 3 14B Reasoning 2512 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Phi-4 Multimodal Instruct is open weight; Ministral 3 14B Reasoning 2512 is open weight.
Can Phi-4 Multimodal Instruct and Ministral 3 14B Reasoning 2512 understand images?+
Phi-4 Multimodal Instruct is documented with image input; Ministral 3 14B Reasoning 2512 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Phi-4 Multimodal Instruct or Ministral 3 14B Reasoning 2512?+
Neither has a larger sourced maximum output. Phi-4 Multimodal Instruct is — and Ministral 3 14B Reasoning 2512 is —.
Do Phi-4 Multimodal Instruct and Ministral 3 14B Reasoning 2512 support reasoning and tool use?+
Phi-4 Multimodal Instruct: image input. Ministral 3 14B Reasoning 2512: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Phi-4 Multimodal Instruct or Ministral 3 14B Reasoning 2512?+
Phi-4 Multimodal Instruct has 0 sourced provider routes; Ministral 3 14B Reasoning 2512 has 0, a tie.
Which offers better value, Phi-4 Multimodal Instruct or Ministral 3 14B Reasoning 2512?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.